Medical Fraud Lab

Medical Fraud Lab

Predict fraud using a medical claims dataset

About this Mission

In this mission, you will work with a use case in Pathfinder that is a binary classification problem and optimize the profitability by adjusting the prediction threshold.  This mission covers:

  • Imbalanced Datasets
  • Target Leakage
  • Building a Binary Classification Model
  • Evaluating a Confusion Matrix
  • Using the Profit Curve to Optimize the Threshold 
  • Hotspots

 

Note: This lab assumes that you have access to DataRobot, if you are not yet a DataRobot customer you can request a free trial here: https://www.datarobot.com/lp/trial/

Action Items1 hr

  • Complete the Lab 1 hr 30 min
  • Resources
  • Datasets

About this Mission

In this mission, you will work with a use case in Pathfinder that is a binary classification problem and optimize the profitability by adjusting the prediction threshold.  This mission covers:

  • Imbalanced Datasets
  • Target Leakage
  • Building a Binary Classification Model
  • Evaluating a Confusion Matrix
  • Using the Profit Curve to Optimize the Threshold 
  • Hotspots

 

Note: This lab assumes that you have access to DataRobot, if you are not yet a DataRobot customer you can request a free trial here: https://www.datarobot.com/lp/trial/

Action Items1 hr

  • Complete the Lab 1 hr 30 min
  • Resources
  • Datasets